verifying-feature-quality

Verify feature correctness against functional specifications and acceptance criteria.

Updated Mar 8, 2026
One-click install
npx skills add https://github.com/ReadyStateChange/agents --skill verifying-feature-quality
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: verifying-feature-quality
Source: https://github.com/ReadyStateChange/agents/tree/main/skills/verifying-feature-quality
Command: npx skills add https://github.com/ReadyStateChange/agents --skill verifying-feature-quality

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Plans and executes feature-level QA verification to ensure alignment with spec promises and acceptance criteria, enabling confident acceptance decisions.

Core Features & Use Cases

  • QA planning and coverage matrix generation
  • Evidence collection through defect logs and risk notes
  • Acceptance recommendation with traceability to the functional spec
  • Readiness checks and gap visibility for unresolved issues

Quick Start

Provide the functional spec and acceptance criteria to the QA workflow to generate a coverage matrix and an acceptance recommendation.

Frequently Asked Questions about verifying-feature-quality

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I verify feature correctness against functional specifications?

Verify feature correctness by planning QA cycles against functional specifications to generate a coverage matrix, collect defect logs, and provide an acceptance recommendation. This structured QA process ensures alignment with spec promises and enables confident acceptance decisions.

What is a QA coverage matrix and when do I need one for feature acceptance?

A QA coverage matrix maps test evidence to functional specifications and acceptance criteria. You need it during feature-level QA cycles to ensure all spec promises are validated and to provide traceability for confident acceptance decisions.

How do I generate an acceptance recommendation with traceability for a feature slice?

Generate an acceptance recommendation by inputting the functional spec and acceptance criteria into a QA workflow. The workflow produces traceability evidence, risk notes, defect logs, and explicit gap visibility for unresolved issues.

Can I use structured QA planning for both slices and full features?

Yes, structured QA planning applies to both slices and full features across QA cycles. It performs readiness checks and provides explicit gap visibility, ensuring accurate verification regardless of feature scope.

What's the best way to track unresolved issues during feature verification?

Track unresolved issues during feature verification by maintaining defect logs and risk notes throughout QA cycles. This approach provides explicit gap visibility and informs the final acceptance recommendation.

Why does feature verification require explicit gap visibility before acceptance?

Feature verification requires explicit gap visibility to identify unresolved issues that might violate acceptance criteria. Highlighting these gaps ensures that the acceptance recommendation is based on complete readiness checks and accurate traceability.